Data Scientist 3

The HP supply chain is responsible for planning, sourcing, making, and delivering more than 2 PC’s and 1 Printer every second of every day to channel partners and end-user customers around the world. We are searching for a Supply Chain Planning Data Scientist in **India**.

**Responsibilities**:
As a Data Scientist:

- ** Extract, analyze and interpret large amounts of data from a range of sources, using algorithmic, data mining and statistical tools, to make it accessible to businesses. As a next step, you will be participating to explore opportunities in artificial intelligence and machine learning**. Once you've interpreted the data, you'll present your results using clear and engaging language. You'll use your technical, analytical and communication skills to collect and examine data to help a business find patterns and solve problems.
- Produces reports and analyzes data to develop trends for supply and demand planning activities.
- Reviews performance metrics on a regular basis, identifying and recommending opportunities for improvement.
- Create clear reports that tell compelling stories about how customers or clients work with the business.
- Contribute to organization’s data science strategy.
- Establish new systems and processes and look for opportunities to improve the flow of data.
- work closely with your business partners to identify issues and use data to propose solutions for effective decision making.
- Use machine learning tools and statistical techniques to produce solutions to problems.
- Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
- Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
- Acts as an expert providing direction and guidance to process improvements.
- May provide mentoring and guidance to lower-level employees.
- Supports Supply Chain resiliency for Planning along with associated projects and processes.
- Collaborates with cross functional teams to maintain and enhance current business processes and solve issues.
- Supports a large/ complex product set or global business unit.

**Knowledge & Experience**:

- Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 5-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.
- Working experience in Power BI, Python, SQL, Kinaxis, Anaplan, Oracle, SAP, )
- Strong knowledge of Microsoft Office skills (Excel, PowerPoint, etc.)
- Demonstrated understanding of supply chain processes (plan, source, make, deliver).
- Familiar with working on issues of a diverse complexity and scope
- Strong analytical and interpersonal skills.
- Thorough ability to simplify the complex, data visualization, and story communication.
- Strong communication and influencing skills; mastery in English and local language.

**Knowledge & Skills**
- Algorithms
- Amazon Web Services
- Apache Spark
- Artificial Intelligence
- Big Data
- Computer Science
- Data Analysis
- Data Mining
- Data Science
- Data Visualization
- Deep Learning
- Machine Learning
- Natural Language Processing
- Predictive Modeling
- Python (Programming Language)
- R (Programming Language)
- SQL (Programming Language)
- Statistical Modeling
- Statistics
- PowerBI (Business Intelligence Software)

**About HP**

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.

So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

Our history: HP’s commitment to diversity, equity and inclusion - it's just who we are.

From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive

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